Showing 2 open source projects for "java projects"

View related business solutions
  • SIEM | API Security | Log Management Software Icon
    SIEM | API Security | Log Management Software

    AI-Powered Security and IT Operations Without Compromise.

    Built on the Graylog Platform, Graylog Security is the industry’s best-of-breed threat detection, investigation, and response (TDIR) solution. It simplifies analysts’ day-to-day cybersecurity activities with an unmatched workflow and user experience while simultaneously providing short- and long-term budget flexibility in the form of low total cost of ownership (TCO) that CISOs covet. With Graylog Security, security analysts can:
    Learn More
  • Ditto Edge Server is a lightweight standalone server for resource-constrained edge environments, based on the core Ditto Edge SDK. Icon
    Ditto Edge Server is a lightweight standalone server for resource-constrained edge environments, based on the core Ditto Edge SDK.

    With Ditto Edge Server, you can join devices as small as a Raspberry Pi to a local mesh network and synchronize data across edge environments.

    Ditto's Edge SDK is the only thing your edge devices need to ensure your application is operational in any environment, regardless of network conditions.
    Learn More
  • 1
    Deep Java Library (DJL)

    Deep Java Library (DJL)

    An engine-agnostic deep learning framework in Java

    ...You can use your existing Java expertise as an on-ramp to learn and use machine learning and deep learning. You can use your favorite IDE to build, train, and deploy your models. DJL makes it easy to integrate these models with your Java applications. Because DJL is deep learning engine agnostic, you don't have to make a choice between engines when creating your projects.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 2
    Apache MXNet (incubating)

    Apache MXNet (incubating)

    A flexible and efficient library for deep learning

    Apache MXNet is an open source deep learning framework designed for efficient and flexible research prototyping and production. It contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations. On top of this is a graph optimization layer, overall making MXNet highly efficient yet still portable, lightweight and scalable.
    Downloads: 1 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB